ArticleNature genetics2026
Genome-wide fine-mapping improves identification of causal variants.
Article in Nature genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Large-scale pleiotropic analysis across cancers reveals shared genetic mechanisms and identifies novel functional genes.Briefings in bioinformatics · 2026Article
- Resolving Cattle GWAS Loci: Current Progress, Persistent Challenges and Future Directions.Current issues in molecular biology · 2026Review
- Genome-Wide Characterization of thePlants (Basel, Switzerland) · 2026Article
- Ultra-fast genetic colocalisation across millions of association signals.PLoS genetics · 2026Article
- Comparative fine-mapping of breast cancer susceptibility loci using summary statistics methods and multinomial regression.medRxiv : the preprint server for health sciences · 2026Article
- Genome-wide fine-mapping improves identification of causal variants.Nature genetics · 2026Article
- Per-allele disease and complex trait effect sizes are predominantly African MAF-dependent in European populations.medRxiv : the preprint server for health sciences · 2026Article
- Review
Corrections and comments
- Erratum issued
- Update of
- Update of
Authors and funding
11 authors.
Funding
Abstract
Fine-mapping refines genotype-phenotype association signals to identify causal variants underlying complex traits. However, current methods typically focus on individual genomic loci and do not account for the global genetic architecture. Here we demonstrate the advantages of performing genome-wide fine-mapping (GWFM) with functional annotations and develop methods to facilitate GWFM. In simulations and real data analyses, GWFM outperforms current methods across several metrics, including error control, mapping power, resolution, precision, replication rate and trans-ancestry phenotype prediction. Across 48 complex traits, we identify credible sets that collectively explain 18% of the SNP-based heritability
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.